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Update llama.py

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Daniel Han-Chen 2024-02-02 03:55:36 +11:00
commit 0b661a23b9
1 changed files with 14 additions and 11 deletions
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25
unsloth/models/llama.py
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@ -259,17 +259,20 @@ def LlamaAttention_fast_forward_inference(
Kn *= cos; Kn.addcmul_(RH_K, sin);
# New KV cache
# Kn = torch.cat([K1, Kn], dim = 2)
# Vn = torch.cat([V1, Vn], dim = 2)
if not hasattr(self, "paged_attention"):
self.paged_attention = torch.empty((2, bsz, n_kv_heads, 2048, head_dim), dtype = dtype, device = "cuda")
self.paged_attention_K = self.paged_attention[0]
self.paged_attention_V = self.paged_attention[1]
self.paged_attention_K[:,:,:seq_len,:] = K1
self.paged_attention_V[:,:,:seq_len,:] = V1
pass
Kn = self.paged_attention_K[:,:,seq_len,:] = Kn
Vn = self.paged_attention_V[:,:,seq_len,:] = Vn
print(K1.shape, V1.shape)
print(Kn.shape, Vn.shape)
Kn = torch.cat([K1, Kn], dim = 2)
Vn = torch.cat([V1, Vn], dim = 2)
print(Kn.shape, Vn.shape)
# if not hasattr(self, "paged_attention"):
# self.paged_attention = torch.empty((2048, 2, bsz, n_kv_heads, head_dim), dtype = dtype, device = "cuda")
# self.paged_attention_K = self.paged_attention[0]
# self.paged_attention_V = self.paged_attention[1]
# self.paged_attention_K[:,:,:seq_len,:] = K1
# self.paged_attention_V[:,:,:seq_len,:] = V1
# pass
# Kn = self.paged_attention_K[:,:,seq_len,:] = Kn
# Vn = self.paged_attention_V[:,:,seq_len,:] = Vn
# Grouped query attention
if n_groups != 1: